DOI: 10.18129/B9.bioc.les  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see les.

Identifying Differential Effects in Tiling Microarray Data

Bioconductor version: 3.16

The 'les' package estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.

Author: Julian Gehring, Clemens Kreutz, Jens Timmer

Maintainer: Julian Gehring <jg-bioc at gmx.com>

Citation (from within R, enter citation("les")):


To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script Introduction to the les package: Identifying Differential Effects in Tiling Microarray Data with the Loci of Enhanced Significance Framework
PDF   Reference Manual
Text   NEWS


biocViews ChIPchip, DNAMethylation, DifferentialExpression, Microarray, Software, Transcription
Version 1.48.0
In Bioconductor since BioC 2.7 (R-2.12) (12.5 years)
License GPL-3
Depends R (>= 2.13.2), methods, graphics, fdrtool
Imports boot, gplots, RColorBrewer
Suggests Biobase, limma
Enhances parallel
Depends On Me
Imports Me GSRI
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package les_1.48.0.tar.gz
Windows Binary les_1.48.0.zip
macOS Binary (x86_64) les_1.48.0.tgz
macOS Binary (arm64) les_1.48.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/les
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/les
Bioc Package Browser https://code.bioconductor.org/browse/les/
Package Short Url https://bioconductor.org/packages/les/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: